KC Donnelly Externship - LSU SRP MATHIEU: AERMOD spatial predictive model for airborne exposure to PCBs

KC Donnelly Externship - LSU SRP MATHIEU：空气中 PCB 暴露的 AERMOD 空间预测模型

• 批准号: 10580929
• 负责人: Stephania A Cormier
• 金额: $ 1.26万
• 依托单位: LOUISIANA STATE UNIV A&M COL BATON ROUGE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10580929
• 关键词: Air Pollutants; Air Pollution; Collaborations; Computer software; Exposure to; Goals; Hazardous Waste; Hybrids; Iowa; Journals; Learning; Louisiana; Measurement; Modeling; Particulate Matter; Plants; Pollution; Polychlorinated Biphenyls; Program Research Project Grants; Publications; Research; Running; Rural; Site; Source; Statistical Models; Superfund; Surface; Training; Universities; Visit; career; community engagement; doctoral student; experience; externship; improved; insight; interest; pollutant; predictive modeling; programs; quality assurance; skills

Project Description (Abstract) AERMOD is the most widely applied U.S. EPA regulatory model to predict the dispersion of airborne pollutants from a point source. The Iowa Superfund Research Program (ISRP) has extensive experience running AERMOD, the primary model used by ISRP to predict airborne PCB congener concentrations. The applicant’s research at the Louisiana State University Superfund Research Program (LSU SRP) consists of performing spatial and statistical modeling of particulate matter components to understand exposure to emissions from an open burn/open detonation hazardous waste thermal treatment facility in rural Colfax, LA. As part of her dissertation, Ms. Martine Mathieu will develop a hybrid exposure assessment model integrating surface-level measurements with the AERMOD dispersion model to provide a robust prediction of concentrations as surrogates for estimated exposures. Drawing on ISRP’s experience with AERMOD, the overarching objective of the Externship is to learn to predict air pollutant exposure using the AERMOD atmospheric dispersion model. This externship will enable the applicant to learn about requirements for model inputs, construction of AERMOD inputs, implementation of the model, and quality assurance of the results. With current research interests in hybrid approaches to spatial air pollution models, the new skills gained through the Externship will add value to Ms. Mathieu’s research career and professional goals. Furthermore, Ms. Mathieu’s experience through the KC Donnelly Externship will enhance long-term collaboration between the LSU SRP and the ISRP through community engagement experiences and further research collaboration centered around modeling, including journal publications, that will provide insights for similar studies and comparable sites.

项目描述（摘要） Aermod是美国EPA最广泛应用的监管模型，可预测的分散 空气传播污染物来自点源。爱荷华州超级基金研究计划（ISRP） 经验丰富的经验Aermod，是ISRP预测空降的主要模型 PCB同源物浓度。申请人在路易斯安那州立大学的研究 超级基金研究计划（LSU SRP）包括执行空间和统计建模 颗粒物的成分，以了解开放烧伤/开放的排放量 爆炸危险废物热处理设施位于洛杉矶的Colfax。作为她的一部分 论文，Martine Mathieu女士将开发一个混合风险评估模型。 使用Aermod色散模型进行表面级测量，以提供可靠的预测 浓度作为估计暴露的替代物。利用ISRP的经验 Aermod，实习的总体目标是学会预测空气污染物 使用Aermod大气分散模型的暴露。这个实习将使 申请人了解模型输入的要求，构建Aermod输入， 模型的实施以及结果的质量保证。具有当前的研究兴趣 在用于空间空气污染模型的混合方法中，通过实习获得的新技能 将为Mathieu女士的研究职业和专业目标增添价值。此外，女士 Mathieu通过KC Donnelly实习的经验将增强长期合作 通过社区参与经验与LSU SRP和ISRP之间 研究合作以建模为中心，包括期刊出版物，将 为类似研究和可比地点提供见解。